BeOne Medicines I GmbH is hiring a Summer Internship: Clinical Pharmacology AI ML Intern

BeOne Medicines I GmbH is looking for a Summer Internship: Clinical Pharmacology AI ML Intern. This internship provides exposure to clinical pharmacology and the modeling/simulation tools used in drug development. You will join a team dedicated to accelerating the development of new medicines.

What You'll Do

• Apply AI/Machine Learning or Large Language Models to work with large clinical datasets and participate in developing a predictive model.
• Develop proficiency in the use of software tools for the development of PBPK and PK/PD models and the R programming language for data management.
• Attend department meetings to gain exposure to the drug development process.
• Review and capture literature sources for use in modeling; transform raw clinical datasets into a format valuable for downstream analysis.
• Learn to develop semi-mechanistic models to support drug development and to apply AI/Large Language Models to support analysis and reporting in accelerated drug development.

What We're Looking For

• Currently enrolled in an MS or PhD program.

Nice to Have

• Course work in AI and Data Science or Pharmaceutical Science.
• Familiarity with R or Python and experience in data analysis using AI/Machine Learning and Large Language Models.

Technical Stack

• R
• Python
• PBPK modeling tools
• PK/PD modeling tools
• AI/Machine Learning
• Large Language Models

Team & Environment

You will report to a manager and collaborate within a team focused on clinical pharmacology and modeling.

Benefits & Compensation

• Medical, Dental, Vision, 401(k), FSA/HSA, Life Insurance, Paid Time Off, and Wellness.
• Eligibility for discretionary equity awards.
• Eligibility to voluntarily participate in the Employee Stock Purchase Plan.
• Compensation: Masters: $30.00/hour, Ph.D.: $35.00/hour.

Work Mode

This is a hybrid position.

We are proud to be an equal opportunity employer. BeOne does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, disability, national origin, veteran status or any other basis covered by appropriate law.